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jiosephlee / intern-single-epoch
Model's Last Updated: January 29 2026
text-generation
Introduction of intern-single-epoch
Model Details of intern-single-epoch
Model Card for 2026-01-29_00-32
This model is a fine-tuned version of internlm/Intern-S1-mini . It has been trained using TRL .
Quick start
from transformers import pipeline
question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
generator = pipeline("text-generation", model="jiosephlee/2026-01-29_00-32", device="cuda")
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
print(output["generated_text"])
Training procedure
This model was trained with SFT.
Framework versions
- TRL: 0.28.0.dev0
- Transformers: 4.57.6
- Pytorch: 2.9.0
- Datasets: 4.5.0
- Tokenizers: 0.22.1
Citations
Cite TRL as:
@software{vonwerra2020trl,
title = {{TRL: Transformers Reinforcement Learning}},
author = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin},
license = {Apache-2.0},
url = {https://github.com/huggingface/trl},
year = {2020}
}
Runs of jiosephlee intern-single-epoch on huggingface.co
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More Information About intern-single-epoch huggingface.co Model
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